Dataset statistics
| Number of variables | 32 |
|---|---|
| Number of observations | 1102 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 158.0 KiB |
| Average record size in memory | 146.8 B |
Variable types
| Numeric | 15 |
|---|---|
| Categorical | 16 |
| Boolean | 1 |
Age is highly correlated with JobLevel and 3 other fields | High correlation |
MonthlyIncome is highly correlated with Age and 4 other fields | High correlation |
TotalWorkingYears is highly correlated with Age and 7 other fields | High correlation |
YearsAtCompany is highly correlated with Age and 6 other fields | High correlation |
YearsInCurrentRole is highly correlated with JobLevel and 4 other fields | High correlation |
YearsSinceLastPromotion is highly correlated with TotalWorkingYears and 3 other fields | High correlation |
YearsWithCurrManager is highly correlated with JobLevel and 4 other fields | High correlation |
JobLevel is highly correlated with Age and 6 other fields | High correlation |
Department is highly correlated with EducationField and 1 other fields | High correlation |
StockOptionLevel is highly correlated with MaritalStatus | High correlation |
JobRole is highly correlated with JobLevel and 4 other fields | High correlation |
EducationField is highly correlated with Department and 1 other fields | High correlation |
MaritalStatus is highly correlated with StockOptionLevel | High correlation |
PercentSalaryHike is highly correlated with PerformanceRating | High correlation |
PerformanceRating is highly correlated with PercentSalaryHike | High correlation |
df_index is uniformly distributed | Uniform |
df_index has unique values | Unique |
NumCompaniesWorked has 144 (13.1%) zeros | Zeros |
TrainingTimesLastYear has 35 (3.2%) zeros | Zeros |
YearsAtCompany has 28 (2.5%) zeros | Zeros |
YearsInCurrentRole has 179 (16.2%) zeros | Zeros |
YearsSinceLastPromotion has 444 (40.3%) zeros | Zeros |
YearsWithCurrManager has 192 (17.4%) zeros | Zeros |
Reproduction
| Analysis started | 2022-10-02 07:48:09.547244 |
|---|---|
| Analysis finished | 2022-10-02 07:48:35.325780 |
| Duration | 25.78 seconds |
| Software version | pandas-profiling v3.3.0 |
| Download configuration | config.json |
| Distinct | 1102 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 734.8094374 |
| Minimum | 0 |
|---|---|
| Maximum | 1469 |
| Zeros | 1 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 70.15 |
| Q1 | 356.25 |
| median | 738.5 |
| Q3 | 1113.75 |
| 95-th percentile | 1397.95 |
| Maximum | 1469 |
| Range | 1469 |
| Interquartile range (IQR) | 757.5 |
Descriptive statistics
| Standard deviation | 428.7195349 |
|---|---|
| Coefficient of variation (CV) | 0.5834431528 |
| Kurtosis | -1.225935839 |
| Mean | 734.8094374 |
| Median Absolute Deviation (MAD) | 379.5 |
| Skewness | -0.005081257521 |
| Sum | 809760 |
| Variance | 183800.4396 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 7 | 1 | 0.1% |
| 175 | 1 | 0.1% |
| 337 | 1 | 0.1% |
| 358 | 1 | 0.1% |
| 415 | 1 | 0.1% |
| 1096 | 1 | 0.1% |
| 1055 | 1 | 0.1% |
| 875 | 1 | 0.1% |
| 292 | 1 | 0.1% |
| 1162 | 1 | 0.1% |
| Other values (1092) | 1092 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 9 | 1 | |
| 11 | 1 |
| Value | Count | Frequency (%) |
| 1469 | 1 | |
| 1468 | 1 | |
| 1466 | 1 | |
| 1465 | 1 | |
| 1463 | 1 | |
| 1462 | 1 | |
| 1461 | 1 | |
| 1459 | 1 | |
| 1457 | 1 | |
| 1451 | 1 |
| Distinct | 43 |
|---|---|
| Distinct (%) | 3.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 36.90018149 |
| Minimum | 18 |
|---|---|
| Maximum | 60 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.7 KiB |
Quantile statistics
| Minimum | 18 |
|---|---|
| 5-th percentile | 23.05 |
| Q1 | 30 |
| median | 36 |
| Q3 | 43 |
| 95-th percentile | 54 |
| Maximum | 60 |
| Range | 42 |
| Interquartile range (IQR) | 13 |
Descriptive statistics
| Standard deviation | 9.079576545 |
|---|---|
| Coefficient of variation (CV) | 0.2460577747 |
| Kurtosis | -0.3567285768 |
| Mean | 36.90018149 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0.4087310495 |
| Sum | 40664 |
| Variance | 82.43871023 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=43)
| Value | Count | Frequency (%) |
| 35 | 59 | 5.4% |
| 34 | 58 | 5.3% |
| 31 | 57 | 5.2% |
| 29 | 52 | 4.7% |
| 36 | 51 | 4.6% |
| 33 | 48 | 4.4% |
| 38 | 46 | 4.2% |
| 40 | 44 | 4.0% |
| 30 | 43 | 3.9% |
| 37 | 40 | 3.6% |
| Other values (33) | 604 |
| Value | Count | Frequency (%) |
| 18 | 6 | 0.5% |
| 19 | 8 | 0.7% |
| 20 | 8 | 0.7% |
| 21 | 11 | 1.0% |
| 22 | 11 | 1.0% |
| 23 | 12 | 1.1% |
| 24 | 18 | |
| 25 | 17 | |
| 26 | 27 | |
| 27 | 37 |
| Value | Count | Frequency (%) |
| 60 | 2 | 0.2% |
| 59 | 9 | |
| 58 | 12 | |
| 57 | 3 | 0.3% |
| 56 | 8 | |
| 55 | 18 | |
| 54 | 14 | |
| 53 | 12 | |
| 52 | 12 | |
| 51 | 13 |
DailyRate
Real number (ℝ≥0)
| Distinct | 755 |
|---|---|
| Distinct (%) | 68.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 796.7259528 |
| Minimum | 102 |
|---|---|
| Maximum | 1496 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.7 KiB |
Quantile statistics
| Minimum | 102 |
|---|---|
| 5-th percentile | 167 |
| Q1 | 464.25 |
| median | 783 |
| Q3 | 1152.5 |
| 95-th percentile | 1424.9 |
| Maximum | 1496 |
| Range | 1394 |
| Interquartile range (IQR) | 688.25 |
Descriptive statistics
| Standard deviation | 404.1147143 |
|---|---|
| Coefficient of variation (CV) | 0.5072192174 |
| Kurtosis | -1.205146758 |
| Mean | 796.7259528 |
| Median Absolute Deviation (MAD) | 348.5 |
| Skewness | 0.01381610407 |
| Sum | 877992 |
| Variance | 163308.7023 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 530 | 5 | 0.5% |
| 691 | 5 | 0.5% |
| 688 | 4 | 0.4% |
| 1490 | 4 | 0.4% |
| 589 | 4 | 0.4% |
| 465 | 4 | 0.4% |
| 334 | 4 | 0.4% |
| 408 | 4 | 0.4% |
| 921 | 4 | 0.4% |
| 1225 | 4 | 0.4% |
| Other values (745) | 1060 |
| Value | Count | Frequency (%) |
| 102 | 1 | |
| 103 | 1 | |
| 104 | 1 | |
| 105 | 1 | |
| 106 | 1 | |
| 107 | 1 | |
| 109 | 1 | |
| 111 | 2 | |
| 115 | 1 | |
| 116 | 2 |
| Value | Count | Frequency (%) |
| 1496 | 1 | 0.1% |
| 1495 | 1 | 0.1% |
| 1492 | 1 | 0.1% |
| 1490 | 4 | |
| 1488 | 1 | 0.1% |
| 1485 | 3 | |
| 1482 | 1 | 0.1% |
| 1480 | 2 | |
| 1479 | 2 | |
| 1476 | 1 | 0.1% |
DistanceFromHome
Real number (ℝ≥0)
| Distinct | 29 |
|---|---|
| Distinct (%) | 2.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.123411978 |
| Minimum | 1 |
|---|---|
| Maximum | 29 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 7 |
| Q3 | 14 |
| 95-th percentile | 26 |
| Maximum | 29 |
| Range | 28 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 8.023875361 |
|---|---|
| Coefficient of variation (CV) | 0.8794818628 |
| Kurtosis | -0.1261967128 |
| Mean | 9.123411978 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.9791028178 |
| Sum | 10054 |
| Variance | 64.38257581 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=29)
| Value | Count | Frequency (%) |
| 2 | 159 | |
| 1 | 158 | |
| 10 | 71 | 6.4% |
| 9 | 66 | 6.0% |
| 7 | 59 | 5.4% |
| 3 | 59 | 5.4% |
| 8 | 57 | 5.2% |
| 6 | 51 | 4.6% |
| 4 | 47 | 4.3% |
| 5 | 45 | 4.1% |
| Other values (19) | 330 |
| Value | Count | Frequency (%) |
| 1 | 158 | |
| 2 | 159 | |
| 3 | 59 | 5.4% |
| 4 | 47 | 4.3% |
| 5 | 45 | 4.1% |
| 6 | 51 | 4.6% |
| 7 | 59 | 5.4% |
| 8 | 57 | 5.2% |
| 9 | 66 | |
| 10 | 71 |
| Value | Count | Frequency (%) |
| 29 | 23 | |
| 28 | 14 | |
| 27 | 10 | |
| 26 | 18 | |
| 25 | 18 | |
| 24 | 18 | |
| 23 | 19 | |
| 22 | 12 | |
| 21 | 14 | |
| 20 | 18 |
Education
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 KiB |
| 3 | |
|---|---|
| 4 | |
| 2 | |
| 1 | |
| 5 | 39 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1102 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 3 |
| 3rd row | 3 |
| 4th row | 2 |
| 5th row | 4 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 430 | |
| 4 | 296 | |
| 2 | 208 | |
| 1 | 129 | 11.7% |
| 5 | 39 | 3.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 3 | 430 | |
| 4 | 296 | |
| 2 | 208 | |
| 1 | 129 | 11.7% |
| 5 | 39 | 3.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 430 | |
| 4 | 296 | |
| 2 | 208 | |
| 1 | 129 | 11.7% |
| 5 | 39 | 3.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1102 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 3 | 430 | |
| 4 | 296 | |
| 2 | 208 | |
| 1 | 129 | 11.7% |
| 5 | 39 | 3.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1102 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 3 | 430 | |
| 4 | 296 | |
| 2 | 208 | |
| 1 | 129 | 11.7% |
| 5 | 39 | 3.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1102 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 3 | 430 | |
| 4 | 296 | |
| 2 | 208 | |
| 1 | 129 | 11.7% |
| 5 | 39 | 3.5% |
EnvironmentSatisfaction
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 KiB |
| 4 | |
|---|---|
| 3 | |
| 2 | |
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1102 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 4 |
|---|---|
| 2nd row | 3 |
| 3rd row | 2 |
| 4th row | 3 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 4 | 340 | |
| 3 | 337 | |
| 2 | 219 | |
| 1 | 206 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 4 | 340 | |
| 3 | 337 | |
| 2 | 219 | |
| 1 | 206 |
Most occurring characters
| Value | Count | Frequency (%) |
| 4 | 340 | |
| 3 | 337 | |
| 2 | 219 | |
| 1 | 206 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1102 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 4 | 340 | |
| 3 | 337 | |
| 2 | 219 | |
| 1 | 206 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1102 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 4 | 340 | |
| 3 | 337 | |
| 2 | 219 | |
| 1 | 206 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1102 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 4 | 340 | |
| 3 | 337 | |
| 2 | 219 | |
| 1 | 206 |
HourlyRate
Real number (ℝ≥0)
| Distinct | 71 |
|---|---|
| Distinct (%) | 6.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 65.92558984 |
| Minimum | 30 |
|---|---|
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.7 KiB |
Quantile statistics
| Minimum | 30 |
|---|---|
| 5-th percentile | 33.05 |
| Q1 | 48 |
| median | 66 |
| Q3 | 84 |
| 95-th percentile | 97 |
| Maximum | 100 |
| Range | 70 |
| Interquartile range (IQR) | 36 |
Descriptive statistics
| Standard deviation | 20.32899028 |
|---|---|
| Coefficient of variation (CV) | 0.3083626606 |
| Kurtosis | -1.200926404 |
| Mean | 65.92558984 |
| Median Absolute Deviation (MAD) | 18 |
| Skewness | -0.02659332984 |
| Sum | 72650 |
| Variance | 413.2678459 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 42 | 26 | 2.4% |
| 66 | 24 | 2.2% |
| 54 | 24 | 2.2% |
| 56 | 22 | 2.0% |
| 98 | 22 | 2.0% |
| 84 | 20 | 1.8% |
| 43 | 19 | 1.7% |
| 52 | 19 | 1.7% |
| 48 | 19 | 1.7% |
| 92 | 19 | 1.7% |
| Other values (61) | 888 |
| Value | Count | Frequency (%) |
| 30 | 14 | |
| 31 | 11 | |
| 32 | 16 | |
| 33 | 15 | |
| 34 | 7 | |
| 35 | 13 | |
| 36 | 16 | |
| 37 | 16 | |
| 38 | 7 | |
| 39 | 9 |
| Value | Count | Frequency (%) |
| 100 | 14 | |
| 99 | 15 | |
| 98 | 22 | |
| 97 | 16 | |
| 96 | 18 | |
| 95 | 17 | |
| 94 | 19 | |
| 93 | 12 | |
| 92 | 19 | |
| 91 | 14 |
JobInvolvement
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 KiB |
| 3 | |
|---|---|
| 2 | |
| 4 | |
| 1 | 55 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1102 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 2 |
| 3rd row | 3 |
| 4th row | 3 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 658 | |
| 2 | 285 | |
| 4 | 104 | 9.4% |
| 1 | 55 | 5.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 3 | 658 | |
| 2 | 285 | |
| 4 | 104 | 9.4% |
| 1 | 55 | 5.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 658 | |
| 2 | 285 | |
| 4 | 104 | 9.4% |
| 1 | 55 | 5.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1102 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 3 | 658 | |
| 2 | 285 | |
| 4 | 104 | 9.4% |
| 1 | 55 | 5.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1102 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 3 | 658 | |
| 2 | 285 | |
| 4 | 104 | 9.4% |
| 1 | 55 | 5.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1102 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 3 | 658 | |
| 2 | 285 | |
| 4 | 104 | 9.4% |
| 1 | 55 | 5.0% |
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 KiB |
| 1 | |
|---|---|
| 2 | |
| 3 | |
| 4 | |
| 5 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1102 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 5 |
| 3rd row | 2 |
| 4th row | 2 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 412 | |
| 2 | 405 | |
| 3 | 157 | 14.2% |
| 4 | 82 | 7.4% |
| 5 | 46 | 4.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1 | 412 | |
| 2 | 405 | |
| 3 | 157 | 14.2% |
| 4 | 82 | 7.4% |
| 5 | 46 | 4.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 412 | |
| 2 | 405 | |
| 3 | 157 | 14.2% |
| 4 | 82 | 7.4% |
| 5 | 46 | 4.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1102 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 412 | |
| 2 | 405 | |
| 3 | 157 | 14.2% |
| 4 | 82 | 7.4% |
| 5 | 46 | 4.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1102 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 412 | |
| 2 | 405 | |
| 3 | 157 | 14.2% |
| 4 | 82 | 7.4% |
| 5 | 46 | 4.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1102 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 412 | |
| 2 | 405 | |
| 3 | 157 | 14.2% |
| 4 | 82 | 7.4% |
| 5 | 46 | 4.2% |
JobSatisfaction
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 KiB |
| 4 | |
|---|---|
| 3 | |
| 1 | |
| 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1102 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 1 |
| 3rd row | 3 |
| 4th row | 1 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 4 | 351 | |
| 3 | 335 | |
| 1 | 213 | |
| 2 | 203 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 4 | 351 | |
| 3 | 335 | |
| 1 | 213 | |
| 2 | 203 |
Most occurring characters
| Value | Count | Frequency (%) |
| 4 | 351 | |
| 3 | 335 | |
| 1 | 213 | |
| 2 | 203 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1102 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 4 | 351 | |
| 3 | 335 | |
| 1 | 213 | |
| 2 | 203 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1102 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 4 | 351 | |
| 3 | 335 | |
| 1 | 213 | |
| 2 | 203 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1102 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 4 | 351 | |
| 3 | 335 | |
| 1 | 213 | |
| 2 | 203 |
| Distinct | 1032 |
|---|---|
| Distinct (%) | 93.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6407.288566 |
| Minimum | 1052 |
|---|---|
| Maximum | 19926 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.7 KiB |
Quantile statistics
| Minimum | 1052 |
|---|---|
| 5-th percentile | 2090.3 |
| Q1 | 2930 |
| median | 4864 |
| Q3 | 7938.25 |
| 95-th percentile | 17583.15 |
| Maximum | 19926 |
| Range | 18874 |
| Interquartile range (IQR) | 5008.25 |
Descriptive statistics
| Standard deviation | 4648.493197 |
|---|---|
| Coefficient of variation (CV) | 0.7255008338 |
| Kurtosis | 1.114586476 |
| Mean | 6407.288566 |
| Median Absolute Deviation (MAD) | 2098 |
| Skewness | 1.406509959 |
| Sum | 7060832 |
| Variance | 21608489 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2342 | 4 | 0.4% |
| 3452 | 3 | 0.3% |
| 2404 | 3 | 0.3% |
| 2380 | 3 | 0.3% |
| 5562 | 3 | 0.3% |
| 2610 | 3 | 0.3% |
| 2340 | 2 | 0.2% |
| 2406 | 2 | 0.2% |
| 2587 | 2 | 0.2% |
| 3760 | 2 | 0.2% |
| Other values (1022) | 1075 |
| Value | Count | Frequency (%) |
| 1052 | 1 | |
| 1081 | 1 | |
| 1102 | 1 | |
| 1129 | 1 | |
| 1200 | 1 | |
| 1223 | 1 | |
| 1261 | 1 | |
| 1274 | 1 | |
| 1281 | 1 | |
| 1359 | 1 |
| Value | Count | Frequency (%) |
| 19926 | 1 | |
| 19859 | 1 | |
| 19847 | 1 | |
| 19833 | 1 | |
| 19701 | 1 | |
| 19665 | 1 | |
| 19658 | 1 | |
| 19636 | 1 | |
| 19627 | 1 | |
| 19626 | 1 |
MonthlyRate
Real number (ℝ≥0)
| Distinct | 1078 |
|---|---|
| Distinct (%) | 97.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14488.54628 |
| Minimum | 2094 |
|---|---|
| Maximum | 26997 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.7 KiB |
Quantile statistics
| Minimum | 2094 |
|---|---|
| 5-th percentile | 3428.1 |
| Q1 | 8468 |
| median | 14388 |
| Q3 | 20610.75 |
| 95-th percentile | 25547.9 |
| Maximum | 26997 |
| Range | 24903 |
| Interquartile range (IQR) | 12142.75 |
Descriptive statistics
| Standard deviation | 7044.849513 |
|---|---|
| Coefficient of variation (CV) | 0.4862357739 |
| Kurtosis | -1.18123591 |
| Mean | 14488.54628 |
| Median Absolute Deviation (MAD) | 6071 |
| Skewness | -2.250635245 × 10-5 |
| Sum | 15966378 |
| Variance | 49629904.65 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2125 | 2 | 0.2% |
| 4223 | 2 | 0.2% |
| 11591 | 2 | 0.2% |
| 16154 | 2 | 0.2% |
| 21981 | 2 | 0.2% |
| 19373 | 2 | 0.2% |
| 4156 | 2 | 0.2% |
| 11737 | 2 | 0.2% |
| 9129 | 2 | 0.2% |
| 10494 | 2 | 0.2% |
| Other values (1068) | 1082 |
| Value | Count | Frequency (%) |
| 2094 | 1 | |
| 2097 | 1 | |
| 2104 | 1 | |
| 2112 | 1 | |
| 2122 | 1 | |
| 2125 | 2 | |
| 2243 | 1 | |
| 2253 | 1 | |
| 2302 | 1 | |
| 2323 | 1 |
| Value | Count | Frequency (%) |
| 26997 | 1 | |
| 26968 | 1 | |
| 26959 | 1 | |
| 26956 | 1 | |
| 26914 | 1 | |
| 26894 | 1 | |
| 26862 | 1 | |
| 26849 | 1 | |
| 26841 | 1 | |
| 26767 | 1 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.653357532 |
| Minimum | 0 |
|---|---|
| Maximum | 9 |
| Zeros | 144 |
| Zeros (%) | 13.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 8 |
| Maximum | 9 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.472662995 |
|---|---|
| Coefficient of variation (CV) | 0.931899665 |
| Kurtosis | 0.1784642583 |
| Mean | 2.653357532 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.081826936 |
| Sum | 2924 |
| Variance | 6.114062286 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 400 | |
| 0 | 144 | 13.1% |
| 3 | 123 | 11.2% |
| 2 | 110 | 10.0% |
| 4 | 105 | 9.5% |
| 7 | 54 | 4.9% |
| 5 | 47 | 4.3% |
| 6 | 46 | 4.2% |
| 9 | 42 | 3.8% |
| 8 | 31 | 2.8% |
| Value | Count | Frequency (%) |
| 0 | 144 | 13.1% |
| 1 | 400 | |
| 2 | 110 | 10.0% |
| 3 | 123 | 11.2% |
| 4 | 105 | 9.5% |
| 5 | 47 | 4.3% |
| 6 | 46 | 4.2% |
| 7 | 54 | 4.9% |
| 8 | 31 | 2.8% |
| 9 | 42 | 3.8% |
| Value | Count | Frequency (%) |
| 9 | 42 | 3.8% |
| 8 | 31 | 2.8% |
| 7 | 54 | 4.9% |
| 6 | 46 | 4.2% |
| 5 | 47 | 4.3% |
| 4 | 105 | 9.5% |
| 3 | 123 | 11.2% |
| 2 | 110 | 10.0% |
| 1 | 400 | |
| 0 | 144 | 13.1% |
| Distinct | 15 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.25045372 |
| Minimum | 11 |
|---|---|
| Maximum | 25 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.7 KiB |
Quantile statistics
| Minimum | 11 |
|---|---|
| 5-th percentile | 11 |
| Q1 | 12 |
| median | 14 |
| Q3 | 18 |
| 95-th percentile | 22 |
| Maximum | 25 |
| Range | 14 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.699531695 |
|---|---|
| Coefficient of variation (CV) | 0.2425850249 |
| Kurtosis | -0.4085876347 |
| Mean | 15.25045372 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.7871193708 |
| Sum | 16806 |
| Variance | 13.68653476 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=15)
| Value | Count | Frequency (%) |
| 11 | 158 | |
| 13 | 156 | |
| 12 | 152 | |
| 14 | 145 | |
| 15 | 71 | |
| 18 | 68 | |
| 16 | 58 | 5.3% |
| 17 | 58 | 5.3% |
| 19 | 56 | 5.1% |
| 20 | 47 | 4.3% |
| Other values (5) | 133 |
| Value | Count | Frequency (%) |
| 11 | 158 | |
| 12 | 152 | |
| 13 | 156 | |
| 14 | 145 | |
| 15 | 71 | |
| 16 | 58 | 5.3% |
| 17 | 58 | 5.3% |
| 18 | 68 | |
| 19 | 56 | 5.1% |
| 20 | 47 | 4.3% |
| Value | Count | Frequency (%) |
| 25 | 13 | 1.2% |
| 24 | 16 | 1.5% |
| 23 | 21 | 1.9% |
| 22 | 44 | |
| 21 | 39 | |
| 20 | 47 | |
| 19 | 56 | |
| 18 | 68 | |
| 17 | 58 | |
| 16 | 58 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 KiB |
| 3 | |
|---|---|
| 4 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1102 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 4 |
|---|---|
| 2nd row | 3 |
| 3rd row | 3 |
| 4th row | 3 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 922 | |
| 4 | 180 | 16.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 3 | 922 | |
| 4 | 180 | 16.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 922 | |
| 4 | 180 | 16.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1102 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 3 | 922 | |
| 4 | 180 | 16.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1102 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 3 | 922 | |
| 4 | 180 | 16.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1102 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 3 | 922 | |
| 4 | 180 | 16.3% |
RelationshipSatisfaction
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 KiB |
| 3 | |
|---|---|
| 4 | |
| 2 | |
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1102 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 2 |
| 3rd row | 3 |
| 4th row | 1 |
| 5th row | 4 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 341 | |
| 4 | 321 | |
| 2 | 230 | |
| 1 | 210 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 3 | 341 | |
| 4 | 321 | |
| 2 | 230 | |
| 1 | 210 |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 341 | |
| 4 | 321 | |
| 2 | 230 | |
| 1 | 210 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1102 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 3 | 341 | |
| 4 | 321 | |
| 2 | 230 | |
| 1 | 210 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1102 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 3 | 341 | |
| 4 | 321 | |
| 2 | 230 | |
| 1 | 210 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1102 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 3 | 341 | |
| 4 | 321 | |
| 2 | 230 | |
| 1 | 210 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 KiB |
| 0 | |
|---|---|
| 1 | |
| 2 | |
| 3 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1102 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 3 |
| 3rd row | 0 |
| 4th row | 2 |
| 5th row | 2 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 468 | |
| 1 | 447 | |
| 2 | 119 | 10.8% |
| 3 | 68 | 6.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 468 | |
| 1 | 447 | |
| 2 | 119 | 10.8% |
| 3 | 68 | 6.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 468 | |
| 1 | 447 | |
| 2 | 119 | 10.8% |
| 3 | 68 | 6.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1102 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 468 | |
| 1 | 447 | |
| 2 | 119 | 10.8% |
| 3 | 68 | 6.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1102 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 468 | |
| 1 | 447 | |
| 2 | 119 | 10.8% |
| 3 | 68 | 6.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1102 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 468 | |
| 1 | 447 | |
| 2 | 119 | 10.8% |
| 3 | 68 | 6.2% |
| Distinct | 40 |
|---|---|
| Distinct (%) | 3.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.16878403 |
| Minimum | 0 |
|---|---|
| Maximum | 40 |
| Zeros | 6 |
| Zeros (%) | 0.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 6 |
| median | 10 |
| Q3 | 15 |
| 95-th percentile | 27.95 |
| Maximum | 40 |
| Range | 40 |
| Interquartile range (IQR) | 9 |
Descriptive statistics
| Standard deviation | 7.682541289 |
|---|---|
| Coefficient of variation (CV) | 0.6878583442 |
| Kurtosis | 0.9763286901 |
| Mean | 11.16878403 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 1.115910411 |
| Sum | 12308 |
| Variance | 59.02144066 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=40)
| Value | Count | Frequency (%) |
| 10 | 144 | 13.1% |
| 6 | 87 | 7.9% |
| 9 | 78 | 7.1% |
| 8 | 77 | 7.0% |
| 5 | 67 | 6.1% |
| 1 | 62 | 5.6% |
| 7 | 60 | 5.4% |
| 4 | 50 | 4.5% |
| 3 | 34 | 3.1% |
| 12 | 34 | 3.1% |
| Other values (30) | 409 |
| Value | Count | Frequency (%) |
| 0 | 6 | 0.5% |
| 1 | 62 | |
| 2 | 27 | 2.5% |
| 3 | 34 | 3.1% |
| 4 | 50 | |
| 5 | 67 | |
| 6 | 87 | |
| 7 | 60 | |
| 8 | 77 | |
| 9 | 78 |
| Value | Count | Frequency (%) |
| 40 | 2 | 0.2% |
| 38 | 1 | 0.1% |
| 37 | 1 | 0.1% |
| 36 | 5 | |
| 35 | 1 | 0.1% |
| 34 | 4 | |
| 33 | 5 | |
| 32 | 7 | |
| 31 | 7 | |
| 30 | 4 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.827586207 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 35 |
| Zeros (%) | 3.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 3 |
| 95-th percentile | 5 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.286851476 |
|---|---|
| Coefficient of variation (CV) | 0.4551060097 |
| Kurtosis | 0.4910451633 |
| Mean | 2.827586207 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.5955227246 |
| Sum | 3116 |
| Variance | 1.655986721 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 2 | 403 | |
| 3 | 380 | |
| 5 | 92 | 8.3% |
| 4 | 86 | 7.8% |
| 1 | 54 | 4.9% |
| 6 | 52 | 4.7% |
| 0 | 35 | 3.2% |
| Value | Count | Frequency (%) |
| 0 | 35 | 3.2% |
| 1 | 54 | 4.9% |
| 2 | 403 | |
| 3 | 380 | |
| 4 | 86 | 7.8% |
| 5 | 92 | 8.3% |
| 6 | 52 | 4.7% |
| Value | Count | Frequency (%) |
| 6 | 52 | 4.7% |
| 5 | 92 | 8.3% |
| 4 | 86 | 7.8% |
| 3 | 380 | |
| 2 | 403 | |
| 1 | 54 | 4.9% |
| 0 | 35 | 3.2% |
WorkLifeBalance
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 KiB |
| 3 | |
|---|---|
| 2 | |
| 4 | |
| 1 | 66 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1102 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 3 |
| 3rd row | 3 |
| 4th row | 2 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 665 | |
| 2 | 257 | 23.3% |
| 4 | 114 | 10.3% |
| 1 | 66 | 6.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 3 | 665 | |
| 2 | 257 | 23.3% |
| 4 | 114 | 10.3% |
| 1 | 66 | 6.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 665 | |
| 2 | 257 | 23.3% |
| 4 | 114 | 10.3% |
| 1 | 66 | 6.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1102 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 3 | 665 | |
| 2 | 257 | 23.3% |
| 4 | 114 | 10.3% |
| 1 | 66 | 6.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1102 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 3 | 665 | |
| 2 | 257 | 23.3% |
| 4 | 114 | 10.3% |
| 1 | 66 | 6.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1102 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 3 | 665 | |
| 2 | 257 | 23.3% |
| 4 | 114 | 10.3% |
| 1 | 66 | 6.0% |
| Distinct | 37 |
|---|---|
| Distinct (%) | 3.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.08076225 |
| Minimum | 0 |
|---|---|
| Maximum | 40 |
| Zeros | 28 |
| Zeros (%) | 2.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 5 |
| Q3 | 9 |
| 95-th percentile | 20 |
| Maximum | 40 |
| Range | 40 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 6.176176149 |
|---|---|
| Coefficient of variation (CV) | 0.8722473557 |
| Kurtosis | 3.913260014 |
| Mean | 7.08076225 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 1.764805727 |
| Sum | 7803 |
| Variance | 38.14515183 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=37)
| Value | Count | Frequency (%) |
| 5 | 147 | |
| 1 | 133 | |
| 3 | 94 | |
| 2 | 93 | |
| 10 | 87 | |
| 4 | 77 | 7.0% |
| 7 | 71 | 6.4% |
| 8 | 62 | 5.6% |
| 9 | 61 | 5.5% |
| 6 | 61 | 5.5% |
| Other values (27) | 216 |
| Value | Count | Frequency (%) |
| 0 | 28 | 2.5% |
| 1 | 133 | |
| 2 | 93 | |
| 3 | 94 | |
| 4 | 77 | |
| 5 | 147 | |
| 6 | 61 | |
| 7 | 71 | |
| 8 | 62 | |
| 9 | 61 |
| Value | Count | Frequency (%) |
| 40 | 1 | 0.1% |
| 37 | 1 | 0.1% |
| 36 | 1 | 0.1% |
| 34 | 1 | 0.1% |
| 33 | 4 | |
| 32 | 1 | 0.1% |
| 31 | 3 | |
| 30 | 1 | 0.1% |
| 29 | 2 | |
| 27 | 2 |
| Distinct | 19 |
|---|---|
| Distinct (%) | 1.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.261343013 |
| Minimum | 0 |
|---|---|
| Maximum | 18 |
| Zeros | 179 |
| Zeros (%) | 16.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 3 |
| Q3 | 7 |
| 95-th percentile | 11 |
| Maximum | 18 |
| Range | 18 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.61281567 |
|---|---|
| Coefficient of variation (CV) | 0.8478115138 |
| Kurtosis | 0.3688905098 |
| Mean | 4.261343013 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.8860130501 |
| Sum | 4696 |
| Variance | 13.05243707 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=19)
| Value | Count | Frequency (%) |
| 2 | 278 | |
| 0 | 179 | |
| 7 | 168 | |
| 3 | 99 | 9.0% |
| 4 | 81 | 7.4% |
| 8 | 63 | 5.7% |
| 9 | 54 | 4.9% |
| 1 | 42 | 3.8% |
| 5 | 29 | 2.6% |
| 6 | 28 | 2.5% |
| Other values (9) | 81 | 7.4% |
| Value | Count | Frequency (%) |
| 0 | 179 | |
| 1 | 42 | 3.8% |
| 2 | 278 | |
| 3 | 99 | 9.0% |
| 4 | 81 | 7.4% |
| 5 | 29 | 2.6% |
| 6 | 28 | 2.5% |
| 7 | 168 | |
| 8 | 63 | 5.7% |
| 9 | 54 | 4.9% |
| Value | Count | Frequency (%) |
| 18 | 1 | 0.1% |
| 17 | 3 | 0.3% |
| 16 | 4 | 0.4% |
| 15 | 6 | 0.5% |
| 14 | 10 | 0.9% |
| 13 | 11 | 1.0% |
| 12 | 7 | 0.6% |
| 11 | 18 | 1.6% |
| 10 | 21 | 1.9% |
| 9 | 54 |
| Distinct | 16 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.192377495 |
| Minimum | 0 |
|---|---|
| Maximum | 15 |
| Zeros | 444 |
| Zeros (%) | 40.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 3 |
| 95-th percentile | 10 |
| Maximum | 15 |
| Range | 15 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 3.274209901 |
|---|---|
| Coefficient of variation (CV) | 1.493451701 |
| Kurtosis | 3.673835339 |
| Mean | 2.192377495 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.009021088 |
| Sum | 2416 |
| Variance | 10.72045047 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 0 | 444 | |
| 1 | 261 | |
| 2 | 118 | 10.7% |
| 7 | 60 | 5.4% |
| 4 | 45 | 4.1% |
| 3 | 41 | 3.7% |
| 5 | 32 | 2.9% |
| 6 | 22 | 2.0% |
| 11 | 20 | 1.8% |
| 15 | 11 | 1.0% |
| Other values (6) | 48 | 4.4% |
| Value | Count | Frequency (%) |
| 0 | 444 | |
| 1 | 261 | |
| 2 | 118 | 10.7% |
| 3 | 41 | 3.7% |
| 4 | 45 | 4.1% |
| 5 | 32 | 2.9% |
| 6 | 22 | 2.0% |
| 7 | 60 | 5.4% |
| 8 | 10 | 0.9% |
| 9 | 11 | 1.0% |
| Value | Count | Frequency (%) |
| 15 | 11 | 1.0% |
| 14 | 7 | 0.6% |
| 13 | 8 | 0.7% |
| 12 | 9 | 0.8% |
| 11 | 20 | 1.8% |
| 10 | 3 | 0.3% |
| 9 | 11 | 1.0% |
| 8 | 10 | 0.9% |
| 7 | 60 | |
| 6 | 22 | 2.0% |
| Distinct | 18 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.176043557 |
| Minimum | 0 |
|---|---|
| Maximum | 17 |
| Zeros | 192 |
| Zeros (%) | 17.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 3 |
| Q3 | 7 |
| 95-th percentile | 11 |
| Maximum | 17 |
| Range | 17 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.590259245 |
|---|---|
| Coefficient of variation (CV) | 0.8597274419 |
| Kurtosis | 0.3702273593 |
| Mean | 4.176043557 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.8733560905 |
| Sum | 4602 |
| Variance | 12.88996144 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=18)
| Value | Count | Frequency (%) |
| 2 | 258 | |
| 0 | 192 | |
| 7 | 166 | |
| 3 | 107 | |
| 8 | 80 | 7.3% |
| 4 | 76 | 6.9% |
| 1 | 52 | 4.7% |
| 9 | 46 | 4.2% |
| 5 | 29 | 2.6% |
| 6 | 21 | 1.9% |
| Other values (8) | 75 | 6.8% |
| Value | Count | Frequency (%) |
| 0 | 192 | |
| 1 | 52 | 4.7% |
| 2 | 258 | |
| 3 | 107 | |
| 4 | 76 | 6.9% |
| 5 | 29 | 2.6% |
| 6 | 21 | 1.9% |
| 7 | 166 | |
| 8 | 80 | 7.3% |
| 9 | 46 | 4.2% |
| Value | Count | Frequency (%) |
| 17 | 7 | 0.6% |
| 16 | 2 | 0.2% |
| 15 | 5 | 0.5% |
| 14 | 3 | 0.3% |
| 13 | 9 | 0.8% |
| 12 | 15 | 1.4% |
| 11 | 17 | 1.5% |
| 10 | 17 | 1.5% |
| 9 | 46 | |
| 8 | 80 |
Attrition
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.2 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 939 | |
| True | 163 | 14.8% |
BusinessTravel
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 KiB |
| Travel_Rarely | |
|---|---|
| Travel_Frequently | |
| Non-Travel |
Length
| Max length | 17 |
|---|---|
| Median length | 13 |
| Mean length | 13.43647913 |
| Min length | 10 |
Characters and Unicode
| Total characters | 14807 |
|---|---|
| Distinct characters | 17 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Travel_Rarely |
|---|---|
| 2nd row | Travel_Rarely |
| 3rd row | Travel_Rarely |
| 4th row | Travel_Rarely |
| 5th row | Travel_Rarely |
Common Values
| Value | Count | Frequency (%) |
| Travel_Rarely | 784 | |
| Travel_Frequently | 205 | 18.6% |
| Non-Travel | 113 | 10.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| travel_rarely | 784 | |
| travel_frequently | 205 | 18.6% |
| non-travel | 113 | 10.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 2296 | |
| r | 2091 | |
| l | 2091 | |
| a | 1886 | |
| T | 1102 | |
| v | 1102 | |
| y | 989 | |
| _ | 989 | |
| R | 784 | 5.3% |
| n | 318 | 2.1% |
| Other values (7) | 1159 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 11501 | |
| Uppercase Letter | 2204 | 14.9% |
| Connector Punctuation | 989 | 6.7% |
| Dash Punctuation | 113 | 0.8% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 2296 | |
| r | 2091 | |
| l | 2091 | |
| a | 1886 | |
| v | 1102 | |
| y | 989 | |
| n | 318 | 2.8% |
| q | 205 | 1.8% |
| u | 205 | 1.8% |
| t | 205 | 1.8% |
Uppercase Letter
| Value | Count | Frequency (%) |
| T | 1102 | |
| R | 784 | |
| F | 205 | 9.3% |
| N | 113 | 5.1% |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 989 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 113 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 13705 | |
| Common | 1102 | 7.4% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 2296 | |
| r | 2091 | |
| l | 2091 | |
| a | 1886 | |
| T | 1102 | |
| v | 1102 | |
| y | 989 | |
| R | 784 | 5.7% |
| n | 318 | 2.3% |
| F | 205 | 1.5% |
| Other values (5) | 841 | 6.1% |
Common
| Value | Count | Frequency (%) |
| _ | 989 | |
| - | 113 | 10.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 14807 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 2296 | |
| r | 2091 | |
| l | 2091 | |
| a | 1886 | |
| T | 1102 | |
| v | 1102 | |
| y | 989 | |
| _ | 989 | |
| R | 784 | 5.3% |
| n | 318 | 2.1% |
| Other values (7) | 1159 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 KiB |
| Research & Development | |
|---|---|
| Sales | |
| Human Resources | 48 |
Length
| Max length | 22 |
|---|---|
| Median length | 22 |
| Mean length | 16.65063521 |
| Min length | 5 |
Characters and Unicode
| Total characters | 18349 |
|---|---|
| Distinct characters | 20 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Research & Development |
|---|---|
| 2nd row | Research & Development |
| 3rd row | Sales |
| 4th row | Research & Development |
| 5th row | Research & Development |
Common Values
| Value | Count | Frequency (%) |
| Research & Development | 727 | |
| Sales | 327 | |
| Human Resources | 48 | 4.4% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| research | 727 | |
| 727 | ||
| development | 727 | |
| sales | 327 | |
| human | 48 | 1.8% |
| resources | 48 | 1.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 4058 | |
| 1502 | 8.2% | |
| s | 1150 | 6.3% |
| a | 1102 | 6.0% |
| l | 1054 | 5.7% |
| R | 775 | 4.2% |
| r | 775 | 4.2% |
| c | 775 | 4.2% |
| n | 775 | 4.2% |
| m | 775 | 4.2% |
| Other values (10) | 5608 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 14243 | |
| Uppercase Letter | 1877 | 10.2% |
| Space Separator | 1502 | 8.2% |
| Other Punctuation | 727 | 4.0% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 4058 | |
| s | 1150 | 8.1% |
| a | 1102 | 7.7% |
| l | 1054 | 7.4% |
| r | 775 | 5.4% |
| c | 775 | 5.4% |
| n | 775 | 5.4% |
| m | 775 | 5.4% |
| o | 775 | 5.4% |
| p | 727 | 5.1% |
| Other values (4) | 2277 |
Uppercase Letter
| Value | Count | Frequency (%) |
| R | 775 | |
| D | 727 | |
| S | 327 | |
| H | 48 | 2.6% |
Space Separator
| Value | Count | Frequency (%) |
| 1502 |
Other Punctuation
| Value | Count | Frequency (%) |
| & | 727 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 16120 | |
| Common | 2229 | 12.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 4058 | |
| s | 1150 | 7.1% |
| a | 1102 | 6.8% |
| l | 1054 | 6.5% |
| R | 775 | 4.8% |
| r | 775 | 4.8% |
| c | 775 | 4.8% |
| n | 775 | 4.8% |
| m | 775 | 4.8% |
| o | 775 | 4.8% |
| Other values (8) | 4106 |
Common
| Value | Count | Frequency (%) |
| 1502 | ||
| & | 727 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 18349 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 4058 | |
| 1502 | 8.2% | |
| s | 1150 | 6.3% |
| a | 1102 | 6.0% |
| l | 1054 | 5.7% |
| R | 775 | 4.2% |
| r | 775 | 4.2% |
| c | 775 | 4.2% |
| n | 775 | 4.2% |
| m | 775 | 4.2% |
| Other values (10) | 5608 |
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 KiB |
| Life Sciences | |
|---|---|
| Medical | |
| Marketing | |
| Technical Degree | |
| Other |
Length
| Max length | 16 |
|---|---|
| Median length | 15 |
| Mean length | 10.55444646 |
| Min length | 5 |
Characters and Unicode
| Total characters | 11631 |
|---|---|
| Distinct characters | 26 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Life Sciences |
|---|---|
| 2nd row | Medical |
| 3rd row | Marketing |
| 4th row | Life Sciences |
| 5th row | Life Sciences |
Common Values
| Value | Count | Frequency (%) |
| Life Sciences | 450 | |
| Medical | 355 | |
| Marketing | 114 | 10.3% |
| Technical Degree | 105 | 9.5% |
| Other | 58 | 5.3% |
| Human Resources | 20 | 1.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| life | 450 | |
| sciences | 450 | |
| medical | 355 | |
| marketing | 114 | 6.8% |
| technical | 105 | 6.3% |
| degree | 105 | 6.3% |
| other | 58 | 3.5% |
| human | 20 | 1.2% |
| resources | 20 | 1.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 2337 | |
| c | 1485 | |
| i | 1474 | |
| n | 689 | 5.9% |
| a | 594 | 5.1% |
| 575 | 4.9% | |
| s | 490 | 4.2% |
| M | 469 | 4.0% |
| l | 460 | 4.0% |
| L | 450 | 3.9% |
| Other values (16) | 2608 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 9379 | |
| Uppercase Letter | 1677 | 14.4% |
| Space Separator | 575 | 4.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 2337 | |
| c | 1485 | |
| i | 1474 | |
| n | 689 | 7.3% |
| a | 594 | 6.3% |
| s | 490 | 5.2% |
| l | 460 | 4.9% |
| f | 450 | 4.8% |
| d | 355 | 3.8% |
| r | 297 | 3.2% |
| Other values (7) | 748 | 8.0% |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 469 | |
| L | 450 | |
| S | 450 | |
| T | 105 | 6.3% |
| D | 105 | 6.3% |
| O | 58 | 3.5% |
| H | 20 | 1.2% |
| R | 20 | 1.2% |
Space Separator
| Value | Count | Frequency (%) |
| 575 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 11056 | |
| Common | 575 | 4.9% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 2337 | |
| c | 1485 | |
| i | 1474 | |
| n | 689 | 6.2% |
| a | 594 | 5.4% |
| s | 490 | 4.4% |
| M | 469 | 4.2% |
| l | 460 | 4.2% |
| L | 450 | 4.1% |
| f | 450 | 4.1% |
| Other values (15) | 2158 |
Common
| Value | Count | Frequency (%) |
| 575 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 11631 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 2337 | |
| c | 1485 | |
| i | 1474 | |
| n | 689 | 5.9% |
| a | 594 | 5.1% |
| 575 | 4.9% | |
| s | 490 | 4.2% |
| M | 469 | 4.0% |
| l | 460 | 4.0% |
| L | 450 | 3.9% |
| Other values (16) | 2608 |
Gender
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 KiB |
| Male | |
|---|---|
| Female |
Length
| Max length | 6 |
|---|---|
| Median length | 4 |
| Mean length | 4.789473684 |
| Min length | 4 |
Characters and Unicode
| Total characters | 5278 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Male |
|---|---|
| 2nd row | Male |
| 3rd row | Male |
| 4th row | Male |
| 5th row | Male |
Common Values
| Value | Count | Frequency (%) |
| Male | 667 | |
| Female | 435 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| male | 667 | |
| female | 435 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 1537 | |
| a | 1102 | |
| l | 1102 | |
| M | 667 | |
| F | 435 | 8.2% |
| m | 435 | 8.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 4176 | |
| Uppercase Letter | 1102 | 20.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 1537 | |
| a | 1102 | |
| l | 1102 | |
| m | 435 | 10.4% |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 667 | |
| F | 435 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 5278 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 1537 | |
| a | 1102 | |
| l | 1102 | |
| M | 667 | |
| F | 435 | 8.2% |
| m | 435 | 8.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 5278 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 1537 | |
| a | 1102 | |
| l | 1102 | |
| M | 667 | |
| F | 435 | 8.2% |
| m | 435 | 8.2% |
| Distinct | 9 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.6 KiB |
| Sales Executive | |
|---|---|
| Research Scientist | |
| Laboratory Technician | |
| Manufacturing Director | |
| Healthcare Representative | |
| Other values (4) |
Length
| Max length | 25 |
|---|---|
| Median length | 21 |
| Mean length | 18.13339383 |
| Min length | 7 |
Characters and Unicode
| Total characters | 19983 |
|---|---|
| Distinct characters | 29 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Laboratory Technician |
|---|---|
| 2nd row | Research Director |
| 3rd row | Sales Executive |
| 4th row | Research Scientist |
| 5th row | Research Scientist |
Common Values
| Value | Count | Frequency (%) |
| Sales Executive | 240 | |
| Research Scientist | 213 | |
| Laboratory Technician | 204 | |
| Manufacturing Director | 111 | |
| Healthcare Representative | 99 | |
| Manager | 74 | 6.7% |
| Research Director | 60 | 5.4% |
| Sales Representative | 59 | 5.4% |
| Human Resources | 42 | 3.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| sales | 299 | |
| research | 273 | |
| executive | 240 | |
| scientist | 213 | |
| laboratory | 204 | |
| technician | 204 | |
| director | 171 | |
| representative | 158 | |
| manufacturing | 111 | 5.2% |
| healthcare | 99 | 4.6% |
| Other values (3) | 158 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 2901 | |
| a | 1952 | 9.8% |
| t | 1567 | 7.8% |
| c | 1557 | 7.8% |
| i | 1514 | 7.6% |
| r | 1507 | 7.5% |
| n | 1117 | 5.6% |
| 1028 | 5.1% | |
| s | 1027 | 5.1% |
| o | 621 | 3.1% |
| Other values (19) | 5192 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 16825 | |
| Uppercase Letter | 2130 | 10.7% |
| Space Separator | 1028 | 5.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 2901 | |
| a | 1952 | |
| t | 1567 | |
| c | 1557 | |
| i | 1514 | |
| r | 1507 | |
| n | 1117 | 6.6% |
| s | 1027 | 6.1% |
| o | 621 | 3.7% |
| h | 576 | 3.4% |
| Other values (10) | 2486 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 512 | |
| R | 473 | |
| E | 240 | |
| L | 204 | 9.6% |
| T | 204 | 9.6% |
| M | 185 | 8.7% |
| D | 171 | 8.0% |
| H | 141 | 6.6% |
Space Separator
| Value | Count | Frequency (%) |
| 1028 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 18955 | |
| Common | 1028 | 5.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 2901 | |
| a | 1952 | |
| t | 1567 | 8.3% |
| c | 1557 | 8.2% |
| i | 1514 | 8.0% |
| r | 1507 | 8.0% |
| n | 1117 | 5.9% |
| s | 1027 | 5.4% |
| o | 621 | 3.3% |
| h | 576 | 3.0% |
| Other values (18) | 4616 |
Common
| Value | Count | Frequency (%) |
| 1028 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 19983 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 2901 | |
| a | 1952 | 9.8% |
| t | 1567 | 7.8% |
| c | 1557 | 7.8% |
| i | 1514 | 7.6% |
| r | 1507 | 7.5% |
| n | 1117 | 5.6% |
| 1028 | 5.1% | |
| s | 1027 | 5.1% |
| o | 621 | 3.1% |
| Other values (19) | 5192 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 KiB |
| Married | |
|---|---|
| Single | |
| Divorced |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 6.91107078 |
| Min length | 6 |
Characters and Unicode
| Total characters | 7616 |
|---|---|
| Distinct characters | 14 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Divorced |
|---|---|
| 2nd row | Married |
| 3rd row | Married |
| 4th row | Divorced |
| 5th row | Divorced |
Common Values
| Value | Count | Frequency (%) |
| Married | 494 | |
| Single | 353 | |
| Divorced | 255 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| married | 494 | |
| single | 353 | |
| divorced | 255 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 1243 | |
| i | 1102 | |
| e | 1102 | |
| d | 749 | |
| M | 494 | 6.5% |
| a | 494 | 6.5% |
| S | 353 | 4.6% |
| n | 353 | 4.6% |
| g | 353 | 4.6% |
| l | 353 | 4.6% |
| Other values (4) | 1020 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 6514 | |
| Uppercase Letter | 1102 | 14.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 1243 | |
| i | 1102 | |
| e | 1102 | |
| d | 749 | |
| a | 494 | 7.6% |
| n | 353 | 5.4% |
| g | 353 | 5.4% |
| l | 353 | 5.4% |
| v | 255 | 3.9% |
| o | 255 | 3.9% |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 494 | |
| S | 353 | |
| D | 255 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 7616 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 1243 | |
| i | 1102 | |
| e | 1102 | |
| d | 749 | |
| M | 494 | 6.5% |
| a | 494 | 6.5% |
| S | 353 | 4.6% |
| n | 353 | 4.6% |
| g | 353 | 4.6% |
| l | 353 | 4.6% |
| Other values (4) | 1020 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 7616 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 1243 | |
| i | 1102 | |
| e | 1102 | |
| d | 749 | |
| M | 494 | 6.5% |
| a | 494 | 6.5% |
| S | 353 | 4.6% |
| n | 353 | 4.6% |
| g | 353 | 4.6% |
| l | 353 | 4.6% |
| Other values (4) | 1020 |
OverTime
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 KiB |
| No | |
|---|---|
| Yes |
Length
| Max length | 3 |
|---|---|
| Median length | 2 |
| Mean length | 2.268602541 |
| Min length | 2 |
Characters and Unicode
| Total characters | 2500 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | No |
|---|---|
| 2nd row | No |
| 3rd row | No |
| 4th row | No |
| 5th row | No |
Common Values
| Value | Count | Frequency (%) |
| No | 806 | |
| Yes | 296 | 26.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| no | 806 | |
| yes | 296 | 26.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| N | 806 | |
| o | 806 | |
| Y | 296 | 11.8% |
| e | 296 | 11.8% |
| s | 296 | 11.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1398 | |
| Uppercase Letter | 1102 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| o | 806 | |
| e | 296 | 21.2% |
| s | 296 | 21.2% |
Uppercase Letter
| Value | Count | Frequency (%) |
| N | 806 | |
| Y | 296 | 26.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2500 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| N | 806 | |
| o | 806 | |
| Y | 296 | 11.8% |
| e | 296 | 11.8% |
| s | 296 | 11.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2500 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| N | 806 | |
| o | 806 | |
| Y | 296 | 11.8% |
| e | 296 | 11.8% |
| s | 296 | 11.8% |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| df_index | Age | DailyRate | DistanceFromHome | Education | EnvironmentSatisfaction | HourlyRate | JobInvolvement | JobLevel | JobSatisfaction | MonthlyIncome | MonthlyRate | NumCompaniesWorked | PercentSalaryHike | PerformanceRating | RelationshipSatisfaction | StockOptionLevel | TotalWorkingYears | TrainingTimesLastYear | WorkLifeBalance | YearsAtCompany | YearsInCurrentRole | YearsSinceLastPromotion | YearsWithCurrManager | Attrition | BusinessTravel | Department | EducationField | Gender | JobRole | MaritalStatus | OverTime | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7 | 30 | 1358 | 24 | 1 | 4 | 67 | 3 | 1 | 3 | 2693 | 13335 | 1 | 22 | 4 | 2 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | No | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Divorced | No |
| 1 | 1264 | 55 | 478 | 2 | 3 | 3 | 60 | 2 | 5 | 1 | 19038 | 19805 | 8 | 12 | 3 | 2 | 3 | 34 | 2 | 3 | 1 | 0 | 0 | 0 | No | Travel_Rarely | Research & Development | Medical | Male | Research Director | Married | No |
| 2 | 447 | 35 | 619 | 1 | 3 | 2 | 85 | 3 | 2 | 3 | 4717 | 18659 | 9 | 11 | 3 | 3 | 0 | 15 | 2 | 3 | 11 | 9 | 6 | 9 | No | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | No |
| 3 | 242 | 41 | 1411 | 19 | 2 | 3 | 36 | 3 | 2 | 1 | 3072 | 19877 | 2 | 16 | 3 | 1 | 2 | 17 | 2 | 2 | 1 | 0 | 0 | 0 | No | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Divorced | No |
| 4 | 938 | 58 | 848 | 23 | 4 | 1 | 88 | 3 | 1 | 3 | 2372 | 26076 | 1 | 12 | 3 | 4 | 2 | 2 | 3 | 3 | 2 | 2 | 2 | 2 | No | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Divorced | No |
| 5 | 544 | 47 | 217 | 3 | 3 | 4 | 49 | 3 | 4 | 3 | 13770 | 10225 | 9 | 12 | 3 | 4 | 2 | 28 | 2 | 2 | 22 | 2 | 11 | 13 | No | Travel_Frequently | Sales | Medical | Female | Sales Executive | Divorced | Yes |
| 6 | 264 | 28 | 529 | 2 | 4 | 1 | 79 | 3 | 1 | 3 | 3485 | 14935 | 2 | 11 | 3 | 3 | 0 | 5 | 5 | 1 | 0 | 0 | 0 | 0 | Yes | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | No |
| 7 | 916 | 46 | 168 | 4 | 2 | 4 | 33 | 2 | 5 | 2 | 18789 | 9946 | 2 | 14 | 3 | 3 | 1 | 26 | 2 | 3 | 11 | 4 | 0 | 8 | No | Travel_Rarely | Sales | Marketing | Female | Manager | Married | No |
| 8 | 148 | 41 | 933 | 9 | 4 | 3 | 94 | 3 | 1 | 1 | 2238 | 6961 | 2 | 21 | 4 | 4 | 1 | 7 | 2 | 3 | 5 | 0 | 1 | 4 | No | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | No |
| 9 | 865 | 30 | 1329 | 29 | 4 | 3 | 61 | 3 | 2 | 1 | 4115 | 13192 | 8 | 19 | 3 | 3 | 3 | 8 | 3 | 3 | 4 | 3 | 0 | 3 | No | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Divorced | No |
Last rows
| df_index | Age | DailyRate | DistanceFromHome | Education | EnvironmentSatisfaction | HourlyRate | JobInvolvement | JobLevel | JobSatisfaction | MonthlyIncome | MonthlyRate | NumCompaniesWorked | PercentSalaryHike | PerformanceRating | RelationshipSatisfaction | StockOptionLevel | TotalWorkingYears | TrainingTimesLastYear | WorkLifeBalance | YearsAtCompany | YearsInCurrentRole | YearsSinceLastPromotion | YearsWithCurrManager | Attrition | BusinessTravel | Department | EducationField | Gender | JobRole | MaritalStatus | OverTime | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1092 | 1438 | 23 | 638 | 9 | 3 | 4 | 33 | 3 | 1 | 1 | 1790 | 26956 | 1 | 19 | 3 | 1 | 1 | 1 | 3 | 2 | 1 | 0 | 1 | 0 | Yes | Travel_Frequently | Sales | Marketing | Male | Sales Representative | Married | No |
| 1093 | 878 | 42 | 179 | 2 | 5 | 4 | 79 | 4 | 2 | 1 | 6272 | 12858 | 7 | 16 | 3 | 1 | 1 | 10 | 3 | 4 | 4 | 3 | 0 | 3 | No | Non-Travel | Human Resources | Medical | Male | Human Resources | Married | No |
| 1094 | 1211 | 37 | 1278 | 1 | 4 | 3 | 31 | 1 | 2 | 4 | 9525 | 7677 | 1 | 14 | 3 | 3 | 2 | 6 | 2 | 2 | 6 | 3 | 1 | 3 | No | Travel_Frequently | Sales | Medical | Male | Sales Executive | Divorced | No |
| 1095 | 657 | 29 | 1086 | 7 | 1 | 1 | 62 | 2 | 1 | 4 | 2532 | 6054 | 6 | 14 | 3 | 3 | 3 | 8 | 5 | 3 | 4 | 3 | 0 | 3 | No | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Divorced | No |
| 1096 | 307 | 38 | 849 | 25 | 2 | 1 | 81 | 2 | 3 | 2 | 12061 | 26707 | 3 | 17 | 3 | 3 | 1 | 19 | 2 | 3 | 10 | 8 | 0 | 1 | No | Travel_Rarely | Research & Development | Life Sciences | Female | Research Director | Married | No |
| 1097 | 16 | 32 | 334 | 5 | 2 | 1 | 80 | 4 | 1 | 2 | 3298 | 15053 | 0 | 12 | 3 | 4 | 2 | 7 | 5 | 2 | 6 | 2 | 0 | 5 | No | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Yes |
| 1098 | 58 | 31 | 655 | 7 | 4 | 4 | 48 | 3 | 2 | 4 | 5915 | 9528 | 3 | 22 | 4 | 4 | 1 | 10 | 3 | 2 | 7 | 7 | 1 | 7 | No | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Divorced | No |
| 1099 | 277 | 38 | 322 | 7 | 2 | 1 | 44 | 4 | 2 | 1 | 5605 | 19191 | 1 | 24 | 4 | 3 | 1 | 8 | 3 | 3 | 8 | 0 | 7 | 7 | No | Travel_Rarely | Sales | Medical | Female | Sales Executive | Divorced | Yes |
| 1100 | 255 | 25 | 685 | 1 | 3 | 1 | 62 | 3 | 2 | 3 | 4898 | 7505 | 0 | 12 | 3 | 4 | 2 | 5 | 3 | 3 | 4 | 2 | 1 | 2 | No | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Married | No |
| 1101 | 1344 | 37 | 783 | 7 | 4 | 4 | 78 | 3 | 2 | 1 | 4284 | 13588 | 5 | 22 | 4 | 3 | 1 | 16 | 2 | 3 | 5 | 3 | 0 | 4 | No | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Yes |